The shallowest transparent and interpretable deep neural network for image recognition
Abstract Trusting the decisions of deep learning models requires transparency of their reasoning process, especially for high-risk decisions. In this paper, a fully transparent deep learning model (Shallow-ProtoPNet) is introduced. This model consists of a transparent prototype layer, followed by an...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Portfolio
2025-04-01
|
| Collection: | Scientific Reports |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1038/s41598-025-92945-2 |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|